Sentiment Analysis with R

Description

Convenor: Giulia Grisot (CDH Teaching Associate)

This workshop will delve into the intricacies of sentiment analysis using R, offering participants a comprehensive understanding of this text mining technique and a chance to gain hands-on experience with sentiment scoring methodologies and advanced sentiment visualisation. Designed for intermediate R users, this session aims to equip attendees with the requisite skills to extract nuanced insights from textual data through the lens of R programming.

Workshop requirements: Participants are requested to complete this simple information questionnaire before the event.

Target audience: CDH Methods sessions are open to the University of Cambridge staff and graduate students who want to learn and apply digital methods and use digital tools in their research, these sessions may be of particular interest to:

• PhD students in the Arts, Humanities and Social Sciences
• Early Career Researchers in the Arts, Humanities and Social Sciences
• Other Cambridge students and staff welcome

About the convenor: Giulia Grisot is Teaching Associate at CDH for the MPhil in Digital Humanities.

Her current research focuses on the investigation of culture and identity in literary texts, using NLP and machine learning to examine represented space and encoded sentiments. As an applied linguist, she is also interested in the mechanisms by which humans process and understand language and literature, and in the ways linguistic data can be explored computationally.